A Novel RLS-KS Method for Parameter Estimation in Particle Filtering-Based Fatigue Crack Growth Prognostics

A Novel RLS-KS Method for Parameter Estimation in Particle Filtering-Based Fatigue Crack Growth Prognostics

The accurate prognosis of fatigue crack growth (FCG) is vital for securing structural safety and developing maintenance plans. With the development of structural health monitoring (SHM) technology, the particle filter (PF) has been considered a promising tool for online prognostics of FCG. Among the...

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Bibliographic Details
Main Authors: Xiaopeng Liu, Weifang Zhang, Xuerong Liu, Wei Dai, Guicui Fu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Fatigue crack growth
parameter estimation
particle filtering
prognostics
structural health monitoring
Online Access:https://ieeexplore.ieee.org/document/8876693/

Internet

https://ieeexplore.ieee.org/document/8876693/

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